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Software Engineer - Data Infrastructure

Maxima.ai· Engineering & Product
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San MateoFull-timePosted 9mo ago

About the role

Data Infrastructure Software Engineer focused on designing and scaling Maxima's data lakes, multi-tenant relational databases, and search/vector infrastructure to support accounting workflows and AI agents.

Responsibilities

  • Architect our data lakes and the ingestion pipelines that feed them from ERPs, banks, and other financial systems
  • Build and scale our multi-tenant relational databases and the data models behind journal entries, reconciliations, and transaction matching
  • Evaluate and build the right search engine and vector database setup to support agent and accounting workflows
  • Design durable, highly available financial data processing layers that the agents depend on
  • Own the reliability, observability, and performance of the data platform as customer volume grows
  • Work with the AI Agents and product engineering teams so the platform serves what they are building

Qualifications

  • 5 or more years working with data systems at high-growth companies
  • Strong experience with relational databases and data modeling
  • Experience building and operating data pipelines and distributed, data-intensive systems
  • Familiarity with web development and cloud infrastructure such as GCP
  • Care about correctness; you have worked on systems where the numbers have to be right
  • Strong communication and collaboration skills

Skills

Required:Data modelingRelational databasesData pipelinesDistributed systemsCloud infrastructure

Benefits

  • Competitive salary
  • 401(k) for US employees
  • unlimited PTO
  • lunch in the office
  • commuter benefits
Last updated Sep 23, 2026. Interested? Apply on the company site.

About Maxima.ai

AI Accounting Automation for Enterprises

Maxima automates accounting with agentic AI—journals, reconciliations, and flux analysis—delivering a SOX-compliant, real-time close for enterprise finance teams.

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